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GPT-6 Luna vs MiniMax M2.5

GPT-6 Luna and MiniMax M2.5 are closely matched at 44.3 and 36.8 on the LLM Stats Score. GPT-6 Luna is 2.6x cheaper per token.

OpenAI · MiniMax · Updated for 2026

Which is better?

GPT-6 Luna and MiniMax M2.5 are closely matched on the overall LLM Stats Score at 44.3 and 36.8.

On price, GPT-6 Luna is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Luna

  • your work emphasizes agents — it leads those capability indexes
  • cost matters — it's about 2.6x cheaper per token
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose MiniMax M2.5

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
MiniMax M2.5
MiniMax
Core performance indexes
LLM Stats Score
44.3
#42
36.8
#79
Reasoning
39.8
#61
36.9
#80
Coding
31.1
#49
26.8
#70
Agents
31.5
#33
17.0
#84
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.30 / M
Output price
$0.50 / M
$1.20 / M
Context window
1,050,000
1,000,000

Individual benchmarks

5 reported for GPT-6 Luna · 8 for MiniMax M2.5

No common benchmarks found

GPT-6 Luna and MiniMax M2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-6 Luna costs less

For input processing, GPT-6 Luna ($0.10/1M tokens) is 3.0x cheaper than MiniMax M2.5 ($0.30/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 2.4x cheaper than MiniMax M2.5 ($1.20/1M tokens).

In conclusion, MiniMax M2.5 is more expensive than GPT-6 Luna.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
MiniMax
MiniMax M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6 Luna accepts 1,050,000 input tokens compared to MiniMax M2.5's 1,000,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while GPT-6 Luna is limited to 128,000 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas MiniMax M2.5 does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

MiniMax M2.5

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while MiniMax M2.5 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Luna

Proprietary

Closed source

MiniMax M2.5

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while MiniMax M2.5 was released on 2026-02-12.

GPT-6 Luna is 7 months newer than MiniMax M2.5.

GPT-6 Luna

Sep 22, 2026

1 weeks ago

7mo newer
MiniMax M2.5

Feb 12, 2026

7 months ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while MiniMax M2.5's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without MiniMax M2.5's cutoff date.

GPT-6 Luna

May 2026

MiniMax M2.5

—

Provider Availability

GPT-6 Luna is available from OpenAI. MiniMax M2.5 is available from MiniMax.

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and MiniMax M2.5 side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
MiniMax M2.5
Open in Playground

FAQ

Common questions about GPT-6 Luna vs MiniMax M2.5.

Which is better, GPT-6 Luna or MiniMax M2.5?

GPT-6 Luna and MiniMax M2.5 are closely matched on the LLM Stats Score at 44.3 and 36.8. GPT-6 Luna is made by OpenAI and MiniMax M2.5 is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to MiniMax M2.5 in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. MiniMax M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%.

Is GPT-6 Luna cheaper than MiniMax M2.5?

GPT-6 Luna is 3.0x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for GPT-6 Luna and MiniMax M2.5?

GPT-6 Luna supports 1.1M tokens and MiniMax M2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Luna and MiniMax M2.5?

Key differences include LLM Stats Score (44.3 vs 36.8), context window (1.1M vs 1.0M), input pricing ($0.10 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and MiniMax M2.5?

GPT-6 Luna is developed by OpenAI and MiniMax M2.5 is developed by MiniMax.

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